Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Francesco Sgherzi"'
Publikováno v:
FCCM
Large-scale eigenvalue computations on sparse matrices are a key component of graph analytics techniques based on spectral methods. In such applications, an exhaustive computation of all eigenvalues and eigenvectors is impractical and unnecessary, as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45ca6b35e5858318a2b90fa26122a02d
http://arxiv.org/abs/2103.10040
http://arxiv.org/abs/2103.10040
Publikováno v:
ASP-DAC
Sparse matrix-vector multiplication is often employed in many data-analytic workloads in which low latency and high throughput are more valuable than exact numerical convergence. FPGAs provide quick execution times while offering precise control over